Index optimization in MariaDB is crucial for improving database performance. Here are the main optimization strategies:
1. Index Type Selection
B-Tree Index (Default):
- Suitable for equality and range queries
- Supports sorting and grouping operations
- Use cases: Most query scenarios
Hash Index:
- Only supports equality queries
- Extremely fast query speed
- Use cases: Exact match queries
Full-Text Index:
- Supports text search
- Use cases: Content search, article retrieval
Spatial Index:
- Supports geospatial data
- Use cases: Geographic location queries
2. Index Design Principles
-
Choose Appropriate Columns:
- Columns in WHERE, JOIN, ORDER BY, GROUP BY clauses
- High selectivity columns (many unique values)
- Avoid creating indexes on low selectivity columns
-
Composite Index Order:
- Place the most frequently used columns first
- Follow the leftmost prefix principle
- Consider column selectivity
-
Avoid Over-Indexing:
- Indexes increase write overhead
- Occupy additional storage space
- Regularly clean up unused indexes
3. Query Optimization Techniques
sql-- Use EXPLAIN to analyze queries EXPLAIN SELECT * FROM users WHERE name = 'John'; -- Create appropriate indexes CREATE INDEX idx_name ON users(name); CREATE INDEX idx_name_age ON users(name, age); -- Use covering indexes to avoid table lookups SELECT id, name FROM users WHERE name = 'John'; -- Avoid using functions on indexed columns -- Not recommended: WHERE YEAR(created_at) = 2024 -- Recommended: WHERE created_at >= '2024-01-01' AND created_at < '2025-01-01'
4. Index Maintenance
sql-- Analyze index usage SELECT * FROM information_schema.statistics WHERE table_schema = 'your_database'; -- Rebuild indexes ALTER TABLE users ENGINE=InnoDB; -- Drop unused indexes DROP INDEX idx_unused ON users;
5. Performance Monitoring
sql-- View index statistics SHOW INDEX FROM users; -- Analyze table ANALYZE TABLE users; -- Optimize table OPTIMIZE TABLE users;
Through proper index design and maintenance, you can significantly improve MariaDB's query performance.